Android Open Source - filtrations Image Processor

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License

The source code is released under:

GNU General Public License

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Java Source Code

package sk.feromakovi.android.opencv.filtrations.processing;
//from   w  w  w.  j  a  v a 2s . c  o  m
import org.opencv.android.Utils;
import org.opencv.core.CvType;
import org.opencv.core.Mat;
import org.opencv.core.Scalar;

import android.graphics.Bitmap;
import android.renderscript.Script.KernelID;

public abstract class ImageProcessor {
  
  private static final String STRING_KERNEL_SOBEL = "-1#0#1@-2#0#2@-1#0#1";
  
  protected String mKernel = STRING_KERNEL_SOBEL;
  
  public abstract CharSequence getName(); 
  
  protected Mat bitmapToMat(Bitmap bitmap){
    Mat mat = new Mat(bitmap.getHeight(), bitmap.getWidth(), CvType.CV_8U, new Scalar(4));
    Utils.bitmapToMat(bitmap, mat);
    return mat;
  }
  
  public Bitmap processBitmap(Bitmap bitmap){
    Mat bitmapMat = bitmapToMat(bitmap);
    Mat kernelMat = onParseKernel(mKernel);
    Mat processed = process(bitmapMat, kernelMat);
    return matToBitmap(processed);
  } 
  
  protected abstract Mat process(Mat bitmapMat, Mat kernelMat);
  
  protected Bitmap matToBitmap(Mat mat){
    Bitmap resultBitmap = Bitmap.createBitmap(mat.cols(), mat.rows(), Bitmap.Config.ARGB_8888);
    Utils.matToBitmap(mat, resultBitmap);
    return resultBitmap;
  }
  
  public void setKernel(String stringKernel){
    if(stringKernel != null && stringKernel.length() > 0)
      this.mKernel = stringKernel;
    else
      throw new IllegalArgumentException("Given kernel parameter doesn't match specified string format");
  }
  
  protected Mat onParseKernel(String sKernel){
    try{
      String[] lines = mKernel.split("@");
      final int cLines = lines.length;
      final Mat kernelMat = new Mat(cLines, cLines, CvType.CV_8U);
      for(int l = 0; l < lines.length; l++){
        String line = lines[l];
        String[] cls = line.split("#");
        for(int c = 0; c < cls.length; c++){
          String number = cls[c];
          double value = Double.parseDouble(number);
          kernelMat.put(l, c, value);
        }
      }
      return kernelMat;
    }catch(Exception e){
      e.printStackTrace();
    }
    return onParseKernel(STRING_KERNEL_SOBEL);    
  }
}

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